Introduction to SHERPA
- A. Clappier
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SHERPA A. Clappier 1 SHERPA SHERPA means, S creening for H igh E - - PowerPoint PPT Presentation
Introduction to SHERPA A. Clappier 1 SHERPA SHERPA means, S creening for H igh E mission R eduction P otentials on A ir quality. SHERPA aims to screen the space of all possible emission abatement scenarios. 2 Air Quality Model Air Quality
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SHERPA means, Screening for High Emission Reduction
Potentials on Air quality.
SHERPA aims to screen the space of all possible emission
abatement scenarios.
Emissions
Boundary conditions Meteorological conditions: Wind, Temperature, Solar radiation
Concentrations
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CPU time: days to simulate 1 year Air Quality Models can screen all possible abatement scenarios,
BUT:
Emissions
Full Air Quality simulations
Concentrations
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CPU time: minutes to simulate 1 year
Source/Receptor relationship
Algebraic relation between the emission changes of every cell and the concentration changes of every cell
1 2 n
, ,
i i
C f E E E SPEED:
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EASY SET UP
Training simulations (10) Application
C wide Europe E C region Country / E
Source/Receptor relationship
1 2 n
, ,
i i
C f E E E SPATIAL FLEXIBILITY
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Shapes AQ Modelling 10-15 Emission Inventory
Sectors Precursors Gridded emissions
S/R Relationships
ADAPTABILITY
Input SHERPA
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Scenario Assessment
Selection of:
Concentration changes (i. e. Delta values)
HOW MUCH impacts?
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Source Apportionment
Selection of:
Average source apportionment for the selected region Average source apportionment for a selected point
WHAT can I influence? WHICH sectors/pollutants?
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Governance control area
Selection of:
Contribution per regions (the selected NUTS level)
WITH WHOM should I coordinate actions?
MS1: Energy production MS2: Residential MS3 and 4: Industrial production MS5: Energy extraction and transport MS6: Solvent MS7: Road transport MS8: Other mobile sources MS9: Waste MS10: Agriculture
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Source Apportionment
7x7 km2 cell over London (51.53° ; -0.073°), concentration: 18 mg.m-3.
16.2% 12.9% 4.22% 3.98% 2.59% 25.3% 2.34% 6.59% 25.8%
Reduction of:
64.4% 6.68% 2.53% 1.84% 1.21% 18.5% 1.29% 3.27% 0.25%
London region:
35.6%
Europe outside London region: 48.2% Outside Europe + natural + shipping: 16.2%
83.8% 35.6%
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Governance control area
18.5% MS 7: Road transport 2.9% 2.4% all Europe 25.3% 0.25% MS 10: Agriculture 3.2% all Europe 25.8% 3.1% 1.6% 1% 1% 1%
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Source Apportionment Governance control area
MS 7: Road transport 20.7% 1.2% MS 10: Agriculture 12.8% 3.8% 2.3% 4%
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i
i
p p i
n p n j p j ij p i i
E d C
1 1 , ,
,
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Reduction over countries
France Poland
Percentage bias Percentage bias
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Reduction over small regions
Percentage bias Percentage bias
ACCURACY: 90%
i.e. 10% bias
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Shapes AQ Modelling
10-15 scenarios
Emission Inventory S/R Relationships
SHERPA
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Shapes AQ Modelling
10-15 scenarios
Emission Inventory S/R Relationships
SHERPA
Other domain emissions AQ model
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Shapes AQ Modelling
10-15 scenarios
Emission Inventory S/R Relationships
SHERPA
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Shapes AQ Modelling
10-15 scenarios
Emission Inventory S/R Relationships
SHERPA
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Shapes Emission Inventory S/R Relationships
SHERPA
AQ Modelling
Measurements
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Shapes Emission Inventory S/R Relationships
SHERPA
AQ Modelling
Measurements
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14:00-14:30
SHERPA, a useful tool for AQ planning in European regions? SHERPA, a useful tool for FAIRMODE WG? 14:30-16:00
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